Machine Learning Engineer

The Wow

As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.

A taster of what you will be involved with:

• Design, implement, and optimize machine learning models to solve complex business problems.

• Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring.

• Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.

• Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality.

• Write and maintain high-quality, production-ready code for machine learning models and services.

• Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.

What we are looking for:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments.

• Proficiency in Python, MLFlow and Spark would be considered an asset.

• Experience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred.

• Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights.

• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.

What we offer

• Fitness-wellness allowance 🧗‍♂️

• Company mobile phone for private use with 100 GB 📱

• Annual HUF devaluation compensation 💡

• Hybrid model: 3 days in the office 🏢 & 2 days from home 🏠

• Private Health Insurance 🩺

• Career development 📈

• Technical and soft-skill training opportunities 🎓

• Breakfast, fruits & lunch 🍎

• Team building events 🥳

Challenge accepted?

If you are interested to learn more, please apply with your CV in English.

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